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Record W2353168052

Studies on the Relationship of Chlorophyll Fluorescence Characters and Drought Tolerance in Seedling of Sugarcane Under Water Stress

2004· article· en· W2353168052 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZhongguo nongye Kexue · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsChlorophyll fluorescenceFluorometerSeedlingWater stressChlorophyllDrought toleranceDrought resistanceDrought stressChlorophyll aBiologyAgronomyYield (engineering)BotanyHorticultureFluorescence
DOInot available

Abstract

fetched live from OpenAlex

The relationship of drought tolerance and chlorophyll fluorescence characters during water stress in seedling of sugarcane was stuided by using modulated chlorophyll fluorometer. The results indicated that Fv/Fm, Fv/Fo, Yield, Rfd values decreased gradually under water stress. With water stress intensifying, Fv/Fm, Fv/Fo, Yield, Rfd value were decreased depending on the genotypes. The decrease of these chlorophyll fluorescence parameters was closely related to drought tolerance of sugarcane varieties. The possibility of determining the drought resistance in sugarcane using chlorophyll fluorescence characters was studied.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.264
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it